Win Engagement and Sales with Human Data Intelligence

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  • You are what you .

    Human data intelligence adds “you are what you do” for deeper audience context beyond demographics, purchase, and online behavior.

Human Data Intelligence is easy to use
  • 1Consumer Opts In
  • 2Consumer Earns Rewards
  • 3Consumer Redeems Rewards
Human Data Intelligence is easy to use can power email marketing loyalty apps social campaigns
  • 1Consumer Opts In
  • 2Consumer Earns Rewards
  • 3Consumer Redeems Rewards

Human Data Intelligence Software

Integrate platforms easily

Health Kit
Google Fit
Fitbit
Jawbone
Misfit
Under Armour
Runkeeper
Movable
Garmin

Access human data with our API

$ curl https://api2.straphq.com/today?page=5 --header "x-auth-token: abc123xyz"

[ { "id": "n0YdMZn75UwZpqRd9XQUzLEq7", "date": "2015-07-10", "timestamp": 1436547730480, "type": "jawbone", "guid": "scald-jawbone", "activity": { "activeMinutes": 19, "calories": 198, "floors": 0, "nonactiveMinutes": 238, "steps": 3359, "updated": "July 10th 2015, 1:02:10 pm" }, "food": { "calories": 0, "carbs": 0, "fat": 0, "fiber": 0, "protein": 0, "sodium": 0, "water": 0 }, "avgfood": null, "body": { "bmi": 0, "bodyFat": 0, "weight": 0 }, "avgbody": null, "sleep": { "asleep": 0, "awake": 0, "duration": 0, "start": 0 }, "avgsleep": null, "average": { "activeMinutes": 0, "calories": 0, "floors": 0, "nonactiveMinutes": 0, "steps": 0, "updated": "" }, "components": [ { "activeMinutes": 0, "calories": 10, "floors": 0, "nonactiveMinutes": 39, "steps": 94, "updated": "July 10th 2015, 10:17:24 am" }, { "activeMinutes": 10, "calories": 106, "floors": 0, "nonactiveMinutes": 126, "steps": 1797, "updated": "July 10th 2015, 10:18:08 am" }, { "activeMinutes": 17, "calories": 181, "floors": 0, "nonactiveMinutes": 219, "steps": 3060, "updated": "July 10th 2015, 1:02:09 pm" } ] }, { "id": "HUiE7S32vIYuinek6bjSVwIzj", "date": "2015-07-10", "timestamp": 1436547550626, "type": "uacf", "guid": "patrick-uacf", "activity": { "activeMinutes": 47, "calories": 211, "floors": 0, "nonactiveMinutes": 614, "steps": 4176, "updated": "July 10th 2015, 12:59:10 pm" }, "food": { "calories": 0, "carbs": 0, "fat": 0, "fiber": 0, "protein": 0, "sodium": 0, "water": 0 }, "avgfood": null, "body": { "bmi": 0, "bodyFat": 0, "weight": 0 }, "avgbody": null, "sleep": { "asleep": 0, "awake": 0, "duration": 0, "start": 0 }, "avgsleep": null, "average": { "activeMinutes": 0, "calories": 0, "floors": 0, "nonactiveMinutes": 0, "steps": 0, "updated": "" }, "components": [ { "activeMinutes": 0, "calories": 0, "floors": 0, "nonactiveMinutes": 0, "steps": 0, "updated": "" }, { "activeMinutes": 7, "calories": 40, "floors": 0, "nonactiveMinutes": 964, "steps": 714, "updated": "July 10th 2015, 7:49:29 am" }, { "activeMinutes": 11, "calories": 90, "floors": 0, "nonactiveMinutes": 919, "steps": 1734, "updated": "July 10th 2015, 8:30:04 am" }, { "activeMinutes": 11, "calories": 90, "floors": 0, "nonactiveMinutes": 919, "steps": 1734, "updated": "July 10th 2015, 8:30:28 am" }, { "activeMinutes": 23, "calories": 127, "floors": 0, "nonactiveMinutes": 833, "steps": 2428, "updated": "July 10th 2015, 9:43:49 am" }, { "activeMinutes": 28, "calories": 138, "floors": 0, "nonactiveMinutes": 784, "steps": 2662, "updated": "July 10th 2015, 10:28:02 am" }, { "activeMinutes": 37, "calories": 169, "floors": 0, "nonactiveMinutes": 699, "steps": 3304, "updated": "July 10th 2015, 11:43:47 am" } ] } ]

View human data in our beautiful dashboard

Steps
12,023
on avg
6% from last 7d
Calories
2,341
on avg
10% from last 7d
Floors
6
on avg
23% from last 7d
Active
8h 31m
on avg
13% from last 7d
Nonactive
6h 12m
on avg
17% from last 7d
ActivityActive vs Nonactive Min
Active Min
1,234 75%
Nonactive Min
934 25%
Active vs Nonactive Min
User’s Active time vs Nonactive time on average.
Users that triggerSteps10000
Hit Users
1,234 60%
Miss Users
934 40%
Steps10000
When a user exceeds 10,000 Steps in a Day.

Create custom segments based on human data

35%
High 6,032-8,021 6,524 -7,122 11-12 8h-9h 0h-6h
Steps
12,023
on avg
6% from last 7d
Calories
2,341
on avg
10% from last 7d
Floors
6
on avg
23% from last 7d
Active
8h 31m
on avg
13% from last 7d
Nonactive
6h 12m
on avg
17% from last 7d
ActivityActive vs Nonactive Min
Active Min
1,234 75%
Nonactive Min
934 25%
Active vs Nonactive Min
User’s Active time vs Inactive time on average.
Users that triggerSteps10000
Hit Users
1,234 60%
Miss Users
934 40%
Active vs Nonactive Min
User’s Active time vs Inactive time on average.
29%
High 5,214-6,031 4,522-6,523 9-10 6h-7h 0h-6h
20%
Medium 3,454-5,213 3,454-4,521 7-8 5h-6h 0h-6h
16%
Mid Low 2,524-3,453 2,524-3,453 3-6 3h-4h 0h-6h

Set up triggers based on customer actions and predicted behavior

Trigger when a user exceeds 1000 Steps in a day .
-
Trigger on user's sleep time . 40 minutes before a user goes to sleep.
-

Request Demo

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